Associations of cord blood metabolites with early childhood obesity risk
Background/Objective: Rapid postnatal weight gain is a potentially modifiable risk factor for obesity and metabolic syndrome. To identify markers of rapid infancy weight gain and childhood obesity, we analyzed the metabolome in cord blood from infants differing in their postnatal weight trajectories...
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| Veröffentlicht in: | International Journal of Obesity 2015-07, Vol.39 (7), p.1041-1048 |
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| container_title | International Journal of Obesity |
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| creator | Isganaitis, E Rifas-Shiman, S L Oken, E Dreyfuss, J M Gall, W Gillman, M W Patti, M-E |
| description | Background/Objective:
Rapid postnatal weight gain is a potentially modifiable risk factor for obesity and metabolic syndrome. To identify markers of rapid infancy weight gain and childhood obesity, we analyzed the metabolome in cord blood from infants differing in their postnatal weight trajectories.
Methods:
We performed a nested case–control study within Project Viva, a longitudinal cohort of mothers and children. We selected cases (
n
=26) based on top quartile of change in weight-for-age 0–6 months and body mass index (BMI) >85th percentile in mid-childhood (median 7.7 years). Controls (
n
=26) were age and sex matched, had normal postnatal weight gain (2nd or 3rd quartile of change in weight-for-age 0–6 months) and normal mid-childhood weight (BMI 25th–75th percentile). Cord blood metabolites were measured using untargeted liquid chromatography–mass spectrometry; individual metabolites and pathways differing between cases and controls were compared in categorical analyses. We adjusted metabolites for maternal age, maternal BMI and breastfeeding duration (linear regression), and assessed whether metabolites improved the ability to predict case–control status (logistic regression).
Results:
Of 415 detected metabolites, 16 were altered in cases versus controls (
t
-test, nominal
P |
| doi_str_mv | 10.1038/ijo.2015.39 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4496296</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A422059434</galeid><sourcerecordid>A422059434</sourcerecordid><originalsourceid>FETCH-LOGICAL-c605t-facdd09e15451b91da3f9ae15e87abbd81e660acbabdedbe4d180b336a06f673</originalsourceid><addsrcrecordid>eNqFkk2LFDEQhhtR3HH15F0aBBF0xqTz0clFGBZ1hQUvew_5qJ7OmOmsSbcy_960s64zsig5hKSeeouqeqvqOUYrjIh457dx1SDMVkQ-qBaYtnzJqGwfVgtEULtEjLOz6knOW4QQY6h5XJ01TCAqCVpUl-uco_V69HHIdexqG5OrTYjR1TsYtYnBj5DrH37sa9Ap7Gvb--D6GYgGsh_3dfL569PqUadDhme393l1_fHD9cXl8urLp88X66ul5YiNy05b55AEzCjDRmKnSSd1eYJotTFOYOAcaWu0ceAMUIcFMoRwjXjHW3JevT_I3kxmB87CMCYd1E3yO532KmqvTiOD79UmfleUSt5IXgRe3wqk-G2CPKqdzxZC0APEKSvcciZFI1rxf5RLNuOCFvTlX-g2Tmkog1ANIZhTIlj7L6poUUZawsQfaqMDKD90sTRi59JqTZsGMUnJXHF1D1WOg523cYDOl_-ThFdHCT3oMPY5hunX5k_BNwfQpphzgu5uuhip2XGqOE7NjlNEFvrF8ULu2N8WK8DbA5BLaNhAOmr6Hr2fxbPeXg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1694537358</pqid></control><display><type>article</type><title>Associations of cord blood metabolites with early childhood obesity risk</title><source>MEDLINE</source><source>Nature</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Isganaitis, E ; Rifas-Shiman, S L ; Oken, E ; Dreyfuss, J M ; Gall, W ; Gillman, M W ; Patti, M-E</creator><creatorcontrib>Isganaitis, E ; Rifas-Shiman, S L ; Oken, E ; Dreyfuss, J M ; Gall, W ; Gillman, M W ; Patti, M-E</creatorcontrib><description>Background/Objective:
Rapid postnatal weight gain is a potentially modifiable risk factor for obesity and metabolic syndrome. To identify markers of rapid infancy weight gain and childhood obesity, we analyzed the metabolome in cord blood from infants differing in their postnatal weight trajectories.
Methods:
We performed a nested case–control study within Project Viva, a longitudinal cohort of mothers and children. We selected cases (
n
=26) based on top quartile of change in weight-for-age 0–6 months and body mass index (BMI) >85th percentile in mid-childhood (median 7.7 years). Controls (
n
=26) were age and sex matched, had normal postnatal weight gain (2nd or 3rd quartile of change in weight-for-age 0–6 months) and normal mid-childhood weight (BMI 25th–75th percentile). Cord blood metabolites were measured using untargeted liquid chromatography–mass spectrometry; individual metabolites and pathways differing between cases and controls were compared in categorical analyses. We adjusted metabolites for maternal age, maternal BMI and breastfeeding duration (linear regression), and assessed whether metabolites improved the ability to predict case–control status (logistic regression).
Results:
Of 415 detected metabolites, 16 were altered in cases versus controls (
t
-test, nominal
P
<0.05). Three metabolites were related to tryptophan: serotonin, tryptophan betaine and tryptophyl leucine (46%, 48% and 26% lower in cases, respectively,
P
<0.05). Mean levels of two methyl donors, dimethylglycine and
N
-acetylmethionine, were also lower in cases (18% and 16%, respectively,
P
=0.01). Moreover, the glutamine:glutamate ratio was reduced by 33% (
P
<0.05) in cases. Levels of serotonin, tryptophyl leucine and
N
-acetylmethionine remained significantly different after adjustment for maternal BMI, age and breastfeeding. Adding metabolite levels to logistic regression models including only clinical covariates improved the ability to predict case versus control status.
Conclusions:
Several cord blood metabolites are associated with rapid postnatal weight gain. Whether these patterns are causally linked to childhood obesity is not clear from this cross-sectional analysis, but will require further study.</description><identifier>ISSN: 0307-0565</identifier><identifier>EISSN: 1476-5497</identifier><identifier>DOI: 10.1038/ijo.2015.39</identifier><identifier>PMID: 25804930</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>101/58 ; 631/1647/320 ; 631/443/319/1642/393 ; 692/499 ; 692/700/1720/3186 ; Adult ; Age ; Analysis ; Betaine ; Biomarkers ; Biomarkers - blood ; Birth Weight ; Blood ; Body Mass Index ; Body size ; Body weight gain ; Breast feeding ; Breastfeeding & lactation ; Care and treatment ; Case-Control Studies ; Childhood obesity ; Children ; Cord blood ; Diabetes ; Diagnosis ; Dimethylglycine ; Epidemiology ; Female ; Fetal Blood - chemistry ; Glutamine ; Health Promotion and Disease Prevention ; Humans ; Infant ; Infant, Newborn ; Infants ; Internal Medicine ; Leucine ; Liquid chromatography ; Male ; Mass spectrometry ; Mass spectroscopy ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Metabolic disorders ; Metabolic syndrome ; Metabolic Syndrome - blood ; Metabolic Syndrome - etiology ; Metabolic Syndrome - prevention & control ; Metabolism ; Metabolites ; Metabolome ; Mothers ; N-Acetylmethionine ; Obesity ; Pediatric Obesity - blood ; Pediatric Obesity - etiology ; Pediatric Obesity - prevention & control ; pediatric-original-article ; Pregnancy ; Prenatal Exposure Delayed Effects - blood ; Public Health ; Regression analysis ; Regression models ; Risk analysis ; Risk Factors ; Serotonin ; Stability ; Trajectories (Physics) ; Tryptophan ; Weight Gain ; X-rays</subject><ispartof>International Journal of Obesity, 2015-07, Vol.39 (7), p.1041-1048</ispartof><rights>Macmillan Publishers Limited 2015</rights><rights>COPYRIGHT 2015 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Jul 2015</rights><rights>Macmillan Publishers Limited 2015.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c605t-facdd09e15451b91da3f9ae15e87abbd81e660acbabdedbe4d180b336a06f673</citedby><cites>FETCH-LOGICAL-c605t-facdd09e15451b91da3f9ae15e87abbd81e660acbabdedbe4d180b336a06f673</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,782,786,887,27933,27934</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25804930$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Isganaitis, E</creatorcontrib><creatorcontrib>Rifas-Shiman, S L</creatorcontrib><creatorcontrib>Oken, E</creatorcontrib><creatorcontrib>Dreyfuss, J M</creatorcontrib><creatorcontrib>Gall, W</creatorcontrib><creatorcontrib>Gillman, M W</creatorcontrib><creatorcontrib>Patti, M-E</creatorcontrib><title>Associations of cord blood metabolites with early childhood obesity risk</title><title>International Journal of Obesity</title><addtitle>Int J Obes</addtitle><addtitle>Int J Obes (Lond)</addtitle><description>Background/Objective:
Rapid postnatal weight gain is a potentially modifiable risk factor for obesity and metabolic syndrome. To identify markers of rapid infancy weight gain and childhood obesity, we analyzed the metabolome in cord blood from infants differing in their postnatal weight trajectories.
Methods:
We performed a nested case–control study within Project Viva, a longitudinal cohort of mothers and children. We selected cases (
n
=26) based on top quartile of change in weight-for-age 0–6 months and body mass index (BMI) >85th percentile in mid-childhood (median 7.7 years). Controls (
n
=26) were age and sex matched, had normal postnatal weight gain (2nd or 3rd quartile of change in weight-for-age 0–6 months) and normal mid-childhood weight (BMI 25th–75th percentile). Cord blood metabolites were measured using untargeted liquid chromatography–mass spectrometry; individual metabolites and pathways differing between cases and controls were compared in categorical analyses. We adjusted metabolites for maternal age, maternal BMI and breastfeeding duration (linear regression), and assessed whether metabolites improved the ability to predict case–control status (logistic regression).
Results:
Of 415 detected metabolites, 16 were altered in cases versus controls (
t
-test, nominal
P
<0.05). Three metabolites were related to tryptophan: serotonin, tryptophan betaine and tryptophyl leucine (46%, 48% and 26% lower in cases, respectively,
P
<0.05). Mean levels of two methyl donors, dimethylglycine and
N
-acetylmethionine, were also lower in cases (18% and 16%, respectively,
P
=0.01). Moreover, the glutamine:glutamate ratio was reduced by 33% (
P
<0.05) in cases. Levels of serotonin, tryptophyl leucine and
N
-acetylmethionine remained significantly different after adjustment for maternal BMI, age and breastfeeding. Adding metabolite levels to logistic regression models including only clinical covariates improved the ability to predict case versus control status.
Conclusions:
Several cord blood metabolites are associated with rapid postnatal weight gain. Whether these patterns are causally linked to childhood obesity is not clear from this cross-sectional analysis, but will require further study.</description><subject>101/58</subject><subject>631/1647/320</subject><subject>631/443/319/1642/393</subject><subject>692/499</subject><subject>692/700/1720/3186</subject><subject>Adult</subject><subject>Age</subject><subject>Analysis</subject><subject>Betaine</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Birth Weight</subject><subject>Blood</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Body weight gain</subject><subject>Breast feeding</subject><subject>Breastfeeding & lactation</subject><subject>Care and treatment</subject><subject>Case-Control Studies</subject><subject>Childhood obesity</subject><subject>Children</subject><subject>Cord blood</subject><subject>Diabetes</subject><subject>Diagnosis</subject><subject>Dimethylglycine</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Fetal Blood - chemistry</subject><subject>Glutamine</subject><subject>Health Promotion and Disease Prevention</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Infants</subject><subject>Internal Medicine</subject><subject>Leucine</subject><subject>Liquid chromatography</subject><subject>Male</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Metabolic Syndrome - blood</subject><subject>Metabolic Syndrome - etiology</subject><subject>Metabolic Syndrome - prevention & control</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Metabolome</subject><subject>Mothers</subject><subject>N-Acetylmethionine</subject><subject>Obesity</subject><subject>Pediatric Obesity - blood</subject><subject>Pediatric Obesity - etiology</subject><subject>Pediatric Obesity - prevention & control</subject><subject>pediatric-original-article</subject><subject>Pregnancy</subject><subject>Prenatal Exposure Delayed Effects - blood</subject><subject>Public Health</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Serotonin</subject><subject>Stability</subject><subject>Trajectories (Physics)</subject><subject>Tryptophan</subject><subject>Weight Gain</subject><subject>X-rays</subject><issn>0307-0565</issn><issn>1476-5497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkk2LFDEQhhtR3HH15F0aBBF0xqTz0clFGBZ1hQUvew_5qJ7OmOmsSbcy_960s64zsig5hKSeeouqeqvqOUYrjIh457dx1SDMVkQ-qBaYtnzJqGwfVgtEULtEjLOz6knOW4QQY6h5XJ01TCAqCVpUl-uco_V69HHIdexqG5OrTYjR1TsYtYnBj5DrH37sa9Ap7Gvb--D6GYgGsh_3dfL569PqUadDhme393l1_fHD9cXl8urLp88X66ul5YiNy05b55AEzCjDRmKnSSd1eYJotTFOYOAcaWu0ceAMUIcFMoRwjXjHW3JevT_I3kxmB87CMCYd1E3yO532KmqvTiOD79UmfleUSt5IXgRe3wqk-G2CPKqdzxZC0APEKSvcciZFI1rxf5RLNuOCFvTlX-g2Tmkog1ANIZhTIlj7L6poUUZawsQfaqMDKD90sTRi59JqTZsGMUnJXHF1D1WOg523cYDOl_-ThFdHCT3oMPY5hunX5k_BNwfQpphzgu5uuhip2XGqOE7NjlNEFvrF8ULu2N8WK8DbA5BLaNhAOmr6Hr2fxbPeXg</recordid><startdate>20150701</startdate><enddate>20150701</enddate><creator>Isganaitis, E</creator><creator>Rifas-Shiman, S L</creator><creator>Oken, E</creator><creator>Dreyfuss, J M</creator><creator>Gall, W</creator><creator>Gillman, M W</creator><creator>Patti, M-E</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7TK</scope><scope>7TS</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>7U2</scope><scope>5PM</scope></search><sort><creationdate>20150701</creationdate><title>Associations of cord blood metabolites with early childhood obesity risk</title><author>Isganaitis, E ; Rifas-Shiman, S L ; Oken, E ; Dreyfuss, J M ; Gall, W ; Gillman, M W ; Patti, M-E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c605t-facdd09e15451b91da3f9ae15e87abbd81e660acbabdedbe4d180b336a06f673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>101/58</topic><topic>631/1647/320</topic><topic>631/443/319/1642/393</topic><topic>692/499</topic><topic>692/700/1720/3186</topic><topic>Adult</topic><topic>Age</topic><topic>Analysis</topic><topic>Betaine</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Birth Weight</topic><topic>Blood</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Body weight gain</topic><topic>Breast feeding</topic><topic>Breastfeeding & lactation</topic><topic>Care and treatment</topic><topic>Case-Control Studies</topic><topic>Childhood obesity</topic><topic>Children</topic><topic>Cord blood</topic><topic>Diabetes</topic><topic>Diagnosis</topic><topic>Dimethylglycine</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Fetal Blood - chemistry</topic><topic>Glutamine</topic><topic>Health Promotion and Disease Prevention</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Infants</topic><topic>Internal Medicine</topic><topic>Leucine</topic><topic>Liquid chromatography</topic><topic>Male</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - blood</topic><topic>Metabolic Syndrome - etiology</topic><topic>Metabolic Syndrome - prevention & control</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Metabolome</topic><topic>Mothers</topic><topic>N-Acetylmethionine</topic><topic>Obesity</topic><topic>Pediatric Obesity - blood</topic><topic>Pediatric Obesity - etiology</topic><topic>Pediatric Obesity - prevention & control</topic><topic>pediatric-original-article</topic><topic>Pregnancy</topic><topic>Prenatal Exposure Delayed Effects - blood</topic><topic>Public Health</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Serotonin</topic><topic>Stability</topic><topic>Trajectories (Physics)</topic><topic>Tryptophan</topic><topic>Weight Gain</topic><topic>X-rays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Isganaitis, E</creatorcontrib><creatorcontrib>Rifas-Shiman, S L</creatorcontrib><creatorcontrib>Oken, E</creatorcontrib><creatorcontrib>Dreyfuss, J M</creatorcontrib><creatorcontrib>Gall, W</creatorcontrib><creatorcontrib>Gillman, M W</creatorcontrib><creatorcontrib>Patti, M-E</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Safety Science and Risk</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International Journal of Obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Isganaitis, E</au><au>Rifas-Shiman, S L</au><au>Oken, E</au><au>Dreyfuss, J M</au><au>Gall, W</au><au>Gillman, M W</au><au>Patti, M-E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations of cord blood metabolites with early childhood obesity risk</atitle><jtitle>International Journal of Obesity</jtitle><stitle>Int J Obes</stitle><addtitle>Int J Obes (Lond)</addtitle><date>2015-07-01</date><risdate>2015</risdate><volume>39</volume><issue>7</issue><spage>1041</spage><epage>1048</epage><pages>1041-1048</pages><issn>0307-0565</issn><eissn>1476-5497</eissn><abstract>Background/Objective:
Rapid postnatal weight gain is a potentially modifiable risk factor for obesity and metabolic syndrome. To identify markers of rapid infancy weight gain and childhood obesity, we analyzed the metabolome in cord blood from infants differing in their postnatal weight trajectories.
Methods:
We performed a nested case–control study within Project Viva, a longitudinal cohort of mothers and children. We selected cases (
n
=26) based on top quartile of change in weight-for-age 0–6 months and body mass index (BMI) >85th percentile in mid-childhood (median 7.7 years). Controls (
n
=26) were age and sex matched, had normal postnatal weight gain (2nd or 3rd quartile of change in weight-for-age 0–6 months) and normal mid-childhood weight (BMI 25th–75th percentile). Cord blood metabolites were measured using untargeted liquid chromatography–mass spectrometry; individual metabolites and pathways differing between cases and controls were compared in categorical analyses. We adjusted metabolites for maternal age, maternal BMI and breastfeeding duration (linear regression), and assessed whether metabolites improved the ability to predict case–control status (logistic regression).
Results:
Of 415 detected metabolites, 16 were altered in cases versus controls (
t
-test, nominal
P
<0.05). Three metabolites were related to tryptophan: serotonin, tryptophan betaine and tryptophyl leucine (46%, 48% and 26% lower in cases, respectively,
P
<0.05). Mean levels of two methyl donors, dimethylglycine and
N
-acetylmethionine, were also lower in cases (18% and 16%, respectively,
P
=0.01). Moreover, the glutamine:glutamate ratio was reduced by 33% (
P
<0.05) in cases. Levels of serotonin, tryptophyl leucine and
N
-acetylmethionine remained significantly different after adjustment for maternal BMI, age and breastfeeding. Adding metabolite levels to logistic regression models including only clinical covariates improved the ability to predict case versus control status.
Conclusions:
Several cord blood metabolites are associated with rapid postnatal weight gain. Whether these patterns are causally linked to childhood obesity is not clear from this cross-sectional analysis, but will require further study.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>25804930</pmid><doi>10.1038/ijo.2015.39</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0307-0565 |
| ispartof | International Journal of Obesity, 2015-07, Vol.39 (7), p.1041-1048 |
| issn | 0307-0565 1476-5497 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4496296 |
| source | MEDLINE; Nature; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | 101/58 631/1647/320 631/443/319/1642/393 692/499 692/700/1720/3186 Adult Age Analysis Betaine Biomarkers Biomarkers - blood Birth Weight Blood Body Mass Index Body size Body weight gain Breast feeding Breastfeeding & lactation Care and treatment Case-Control Studies Childhood obesity Children Cord blood Diabetes Diagnosis Dimethylglycine Epidemiology Female Fetal Blood - chemistry Glutamine Health Promotion and Disease Prevention Humans Infant Infant, Newborn Infants Internal Medicine Leucine Liquid chromatography Male Mass spectrometry Mass spectroscopy Medicine Medicine & Public Health Metabolic Diseases Metabolic disorders Metabolic syndrome Metabolic Syndrome - blood Metabolic Syndrome - etiology Metabolic Syndrome - prevention & control Metabolism Metabolites Metabolome Mothers N-Acetylmethionine Obesity Pediatric Obesity - blood Pediatric Obesity - etiology Pediatric Obesity - prevention & control pediatric-original-article Pregnancy Prenatal Exposure Delayed Effects - blood Public Health Regression analysis Regression models Risk analysis Risk Factors Serotonin Stability Trajectories (Physics) Tryptophan Weight Gain X-rays |
| title | Associations of cord blood metabolites with early childhood obesity risk |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-03T08%3A04%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Associations%20of%20cord%20blood%20metabolites%20with%20early%20childhood%20obesity%20risk&rft.jtitle=International%20Journal%20of%20Obesity&rft.au=Isganaitis,%20E&rft.date=2015-07-01&rft.volume=39&rft.issue=7&rft.spage=1041&rft.epage=1048&rft.pages=1041-1048&rft.issn=0307-0565&rft.eissn=1476-5497&rft_id=info:doi/10.1038/ijo.2015.39&rft_dat=%3Cgale_pubme%3EA422059434%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1694537358&rft_id=info:pmid/25804930&rft_galeid=A422059434&rfr_iscdi=true |